Table 4. Association of socio-demographic and lifestyle determinants with healthcare choices.

	Provider (Odds Ratios)				MH provider (Odds Ratios)		Cost (coefficients)		MH cost (coefficients)
	Private		Mixed		Private	Mixed
	Men	Women	Men	Women	Women	Women	Men	Women	Women
Age	1.02	1.01	1.01	1.01	1.05	1.09	0.04	-0.05	0.01
Residence	1.02	0.98	1.00	1.00	1.00	1.04	-0.03	-0.05 *	0.01
Occupation	2.82	0.80	0.96	0.59	0.64	1.24	0.03	0.00	0.00
Household size	0.71	0.87	0.82	0.68 *	0.90	1.22	0.01	0.02	0.02
Earning people	2.48	1.26	3.11	1.68	1.26	0.73	0.02	-0.01	-0.02
Household income	0.70	1.24	0.53	1.85 *	1.36 *	1.54	-0.04 *	0.00	-0.01
Education	2.42	1.50	4.48	1.31	1.26	0.85	0.05	0.00	0.01
Children	0.81	1.16	0.77	2.29 *	0.79	0.95	-0.01	0.01	-0.02 *
Fruit & veg	1.02	0.96	0.63	0.91	1.21 **	1.31 **	-0.01	-0.01	0.00
Protein & carbs	1.98	0.79	5.54 **	0.80	0.83	0.81	0.03	0.00	-0.03*
Alcohol	1.35	NA	2.40	NA	NA	NA	0.01	NA	NA
Tobacco	0.55	0.30	0.52	0.33	0.75	0.42	0.01	0.01	-0.02 **
Activity	0.59	0.79	0.77	0.45	1.12	1.07	0.01	0.00	-0.01

Provider and cost is used as an aggregate for choices pertaining to disease Categories I, II and III and maternal health has been presented separately. Multinomial logistic regression was used to derive odds ratios for a range of factors potentially associated with provider. Public provider was used as a baseline and private and mixed (private & public) as the two alternative options. Multiple linear regression with cost as the dependent variable was used to derive standardised coefficients associated with each factor. For both methods, only p-values that fall within two significance categories (*p≤0.05, **p≤0.01) are included for ease of interpretation.